A multilayer network dataset of interaction and influence spreading in a virtual world

Abstract

Presented data contains the record of five spreading campaigns that occurred in a virtual world platform. Users distributed avatars between each other during the campaigns. The processes varied in time and range and were either incentivized or not incentivized. Campaign data is accompanied by events. The data can be used to build a multilayer network to place the campaigns in a wider context. To the best of the authors knowledge, the study is the first publicly available dataset containing a complete real multilayer social network together, along with five complete spreading processes in it.

References in corpus (2)

• A picture is worth a thousand words: an empirical study on the influence of content visibility on diffusion processes within a virtual world
• Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games

Cited by in corpus (5)

• Social tipping processes for sustainability: An analytical framework
• Interacting spreading processes in multilayer networks
• Rank-Refining Seed Selection Methods for Budget Constrained Influence Maximisation in Multilayer Networks under Linear Threshold Model
• From the Hands of an Early Adopter's Avatar to Virtual Junkyards: Analysis of Virtual Goods' Lifetime Survival
• Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping